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<Paper uid="E95-1022">
  <Title>A syntax-based part-of-speech analyser</Title>
  <Section position="5" start_page="160" end_page="161" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> Part-of-speech disambiguation has recently been tackled best with data-driven techniques. Linguistic techniques have done well at related levels (morphology, syntax) but not here. Is there something in parts of speech that makes them less accessible to the rule-based linguistic approach? This paper outlines and evaluates a new part-of-speech tagger. It uses only linguistic distributional rules, yet reaches an accuracy clearly better than any competing system. This suggests that also parts of speech are a rule-governed distributional phenomenon.</Paragraph>
    <Paragraph position="1"> The tagger has two rule components. One is a grammar specifically developed for resolution of part-of-speech ambiguities. Though much effort was given to its development, it leaves many ambiguities unresolved. These rules, superficially about parts of speech, actually express essentially syntactic generalisations, though indirectly and  partially. The other rule component is a syntactic grammar. This syntactic grammar is able to resolve the pending part-of-speech ambiguities as a side effect.</Paragraph>
    <Paragraph position="2"> In short: like morphology and syntax, parts of speech seem to be a rule-governed phenomenon.</Paragraph>
    <Paragraph position="3"> However, the best distributional account of parts of speech appears achievable by means of a syntactic grammar, s</Paragraph>
  </Section>
class="xml-element"></Paper>